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TÜKETİCİLERİN MOBİL UYGULAMALARI KULLANMA NİYETİNİ BELİRLEYEN FAKTÖRLER: HEDONİK VE FAYDACI MOTİVASYONLARIN ROLÜ

Yıl 2024, , 201 - 225, 29.11.2024
https://doi.org/10.47107/inifedergi.1515973

Öz

Mobil uygulamalar, çeşitli görevlerde kolaylık ve verimlilik sunarak tüketicilerin günlük yaşamlarının vazgeçilmez bir parçası haline gelmiştir. Bu uygulamaları kullanmaya yönlendiren tüketici motivasyonlarını anlamak, bu teknolojilerin yaygınlaşma sürecini derinlemesine kavramak için kritik öneme sahiptir. Bu çalışma, tüketicilerin mobil alışveriş uygulamalarını kullanma niyetlerini etkileyen hedonik ve faydacı motivasyonları incelemektedir. Mevcut literatür ışığında, hem işlevsel/faydacı hem de deneyimsel/hedonik yönleri dikkate alarak bu niyetlerin öncüllerini araştıran entegre bir model sunulmaktadır. Hedonik motivasyonlar, tüketicilerin duygusal ve deneyimsel tatminlerini artıran unsurları kapsamakta ve kullanıcıların mobil uygulamaları eğlence, rahatlama veya kişisel zevk için kullanma eğilimlerini içermektedir. Buna karşılık, faydacı motivasyonlar, belirli bir amaca ulaşma veya bir görevi tamamlama ihtiyacını karşılayan işlevsel özelliklere odaklanır ve uygulamaların sunduğu verimlilik, zaman ve maliyet tasarrufu gibi pratik avantajları içermektedir. Yapısal model analizi, algılanan değer ve kullanım niyeti için yüksek R² ve Q² değerleriyle modelin tahmin edici geçerliliğini göstermiştir. Hem hedonik hem de faydacı motivasyonların mobil alışveriş uygulamalarının algılanan değeri ve kullanım niyetinde önemli bir rol oynadığı belirlenmiştir. Ancak, hedonik motivasyonlardan yalnızca indirim alışverişinin algılanan değeri artırdığı, doyum alışverişinin ise bu değişkene anlamlı bir katkı sağlamadığı tespit edilmiştir. Faydacı motivasyonlar arasında ise, sosyal etkileşimden kaçınma dışındaki diğer faktörlerin algılanan değeri olumlu yönde etkilediği görülmüştür. Özellikle kullanım kolaylığı ve tasarruf algısının, faydacı motivasyonlar içinde algılanan değeri önemli ölçüde etkilediği saptanmıştır. Bu bulgular, mobil alışveriş uygulamalarının hâlâ büyük ölçüde işlevsel ve görev odaklı sistemler olarak algılandığını göstermektedir. Sonuç olarak, hedonik ve faydacı motivasyonların kullanıcıların algıları ve kullanım niyetleri üzerindeki etkilerini anlamak, uygulama geliştiricilerine önemli içgörüler sunmaktadır. Geliştiriciler, hem hedonik hem de faydacı motivasyonlara hitap eden özellikler tasarlayarak, kullanıcıların uygulamalara olan bağlılıklarını artırma potansiyeline sahiptir.

Kaynakça

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  • Anderson, J. C., ve Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423.
  • Arnold, M. J., ve Reynolds, K. E. (2003). Hedonic shopping motivations. Journal of Retailing, 79(2), 77–95.
  • Atkins, K. G., ve Kim, Y.‑K. (2012). Smart shopping: conceptualization and measurement. International Journal of Retail & Distribution Management, 40(5), 360–375.
  • Atulkar, S., ve Kesari, B. (2017). Satisfaction, loyalty and repatronage intentions: Role of hedonic shopping values. Journal of Retailing and Consumer Services, 39, 23–34.
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  • Canio, F. de, Fuentes-Blasco, M., ve Martinelli, E. (2022). Extrinsic motivations behind mobile shopping: what drives regular and occasional shoppers? International Journal of Retail & Distribution Management, 50(8/9), 962–980.
  • Chandon, P., Wansink, B., ve Laurent, G. (2000). A Benefit Congruency Framework of Sales Promotion Effectiveness. Journal of Marketing, 64(4), 65–81.
  • Childers, T. L., Carr, C. L., Peck, J., ve Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511–535.
  • Cho, Y. C., ve Sagynov, E. (2015). Exploring Factors That Affect Usefulness, Ease Of Use, Trust, And Purchase Intention In The Online Environment. International Journal of Management & Information Systems (IJMIS), 19(1), 21.
  • Chong, A. Y.‑L. (2013). Predicting m-commerce adoption determinants: A neural network approach. Expert Systems with Applications, 40(2), 523–530.
  • Chopdar, P. K., Korfiatis, N., Sivakumar, V. J., ve Lytras, M. D. (2018). Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology. Computers in Human Behavior, 86, 109–128.
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  • Doha, A., Elnahla, N., ve McShane, L. (2019). Social commerce as social networking. Journal of Retailing and Consumer Services, 47, 307–321.
  • Eveleth, L. B., ve Stone, R. W. (2020). User’s perceptions of perceived usefulness, satisfaction, and intentions of mobile application. International Journal of Mobile Communications, 18(1), Article 104431, 1.
  • Fornell, C., ve Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39.
  • Gambetti, R. C., ve Graffigna, G. (2010). The concept of engagement A systematic analysis of the ongoing marketing debate. International Journal of Market Research(52), 801–826.
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  • Groß, M. (2015). Exploring the acceptance of technology for mobile shopping: an empirical investigation among Smartphone users. The International Review of Retail, Distribution and Consumer Research, 25(3), 215–235.
  • Hair, J. F., Ringle, C. M., ve Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139–152.
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Factors Determining Consumers' Intention To Use Mobile Applications: The Role Of Hedonic and Utilitarian Motivations

Yıl 2024, , 201 - 225, 29.11.2024
https://doi.org/10.47107/inifedergi.1515973

Öz

Mobile applications have become an integral part of consumers' daily lives by offering convenience and efficiency across various tasks. Understanding the motivations that drive consumers to use these applications is critical for gaining a deeper insight into the diffusion of these technologies. This study examines the hedonic and utilitarian motivations that influence consumers' intentions to use mobile shopping applications. Drawing on the existing literature, an integrated model is proposed that explores the antecedents of these intentions, considering both functional/utilitarian and experiential/hedonic aspects. Hedonic motivations encompass elements that enhance consumers' emotional and experiential satisfaction, leading them to use mobile applications for entertainment, relaxation, or personal pleasure. In contrast, utilitarian motivations focus on functional features that fulfill consumers' needs to achieve specific goals or complete tasks, including practical benefits such as efficiency, time savings, and cost reduction. The structural model analysis demonstrated the predictive validity of the model with high R² and Q² values for perceived value and usage intention. Both hedonic and utilitarian motivations were found to play a significant role in the perceived value and usage intention of mobile shopping applications. However, among hedonic motivations, only discount shopping was found to increase perceived value, while satisfaction shopping did not have a significant impact on this variable. Among utilitarian motivations, all factors except avoidance of social interaction were found to positively influence perceived value. Notably, ease of use and perceived savings were identified as key factors in shaping perceived value within utilitarian motivations. These findings suggest that mobile shopping applications are still largely perceived as functional, task-oriented systems. In conclusion, understanding the impact of hedonic and utilitarian motivations on users' perceptions and usage intentions offers valuable insights for application developers. By designing features that appeal to both hedonic and utilitarian motivations, developers can enhance user engagement and foster greater loyalty to these applications.

Kaynakça

  • Agrebi, S., ve Jallais, J. (2015). Explain the intention to use smartphones for mobile shopping. Journal of Retailing and Consumer Services, 22, 16–23.
  • Akdim, K., Casaló, L. V., ve Flavián, C. (2022). The role of utilitarian and hedonic aspects in the continuance intention to use social mobile apps. Journal of Retailing and Consumer Services, 66, 102888.
  • Anderson, J. C., ve Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423.
  • Arnold, M. J., ve Reynolds, K. E. (2003). Hedonic shopping motivations. Journal of Retailing, 79(2), 77–95.
  • Atkins, K. G., ve Kim, Y.‑K. (2012). Smart shopping: conceptualization and measurement. International Journal of Retail & Distribution Management, 40(5), 360–375.
  • Atulkar, S., ve Kesari, B. (2017). Satisfaction, loyalty and repatronage intentions: Role of hedonic shopping values. Journal of Retailing and Consumer Services, 39, 23–34.
  • Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value. Journal of Consumer Research, 20(4), 644.
  • Bagozzi, R. P., ve Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94.
  • Bouchrika, I. (24 Şubat 2021). earch.com Mobile vs Desktop Usage Statistics for 2024. Research.Com. https://research.com/software/mobile-vs-desktop-usage Erişim Tarihi: 02.04.2024.
  • Canio, F. de, Fuentes-Blasco, M., ve Martinelli, E. (2022). Extrinsic motivations behind mobile shopping: what drives regular and occasional shoppers? International Journal of Retail & Distribution Management, 50(8/9), 962–980.
  • Chandon, P., Wansink, B., ve Laurent, G. (2000). A Benefit Congruency Framework of Sales Promotion Effectiveness. Journal of Marketing, 64(4), 65–81.
  • Childers, T. L., Carr, C. L., Peck, J., ve Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511–535.
  • Cho, Y. C., ve Sagynov, E. (2015). Exploring Factors That Affect Usefulness, Ease Of Use, Trust, And Purchase Intention In The Online Environment. International Journal of Management & Information Systems (IJMIS), 19(1), 21.
  • Chong, A. Y.‑L. (2013). Predicting m-commerce adoption determinants: A neural network approach. Expert Systems with Applications, 40(2), 523–530.
  • Chopdar, P. K., Korfiatis, N., Sivakumar, V. J., ve Lytras, M. D. (2018). Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology. Computers in Human Behavior, 86, 109–128.
  • Chuchu, T., ve Ndoro, T. (2019). An Examination of the Determinants of the Adoption of Mobile Applications as Learning Tools for Higher Education Students. International Association of Online Engineering. https://www.learntechlib.org/p/208275/ Erişim Tarihi: 02.05.2024.
  • Dacko, S. G. (2017). Enabling smart retail settings via mobile augmented reality shopping apps. Technological Forecasting and Social Change, 124, 243–256.
  • DataReportal (23 Şubat 2024). Digital 2024: Turkey. DataReportal – Global Digital Insights. https://datareportal.com/reports/digital-2024-turkey Erişim Tarihi: 01.03.2024.
  • Deci, E. L., ve Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Perspectives in Social Psychology. Springer Science+Business Media.
  • Dinsmore, J. B., Swani, K., ve Dugan, R. G. (2017). To “Free” or Not to “Free”: Trait Predictors of Mobile App Purchasing Tendencies. Psychology & Marketing, 34(2), 227–244.
  • Doha, A., Elnahla, N., ve McShane, L. (2019). Social commerce as social networking. Journal of Retailing and Consumer Services, 47, 307–321.
  • Eveleth, L. B., ve Stone, R. W. (2020). User’s perceptions of perceived usefulness, satisfaction, and intentions of mobile application. International Journal of Mobile Communications, 18(1), Article 104431, 1.
  • Fornell, C., ve Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39.
  • Gambetti, R. C., ve Graffigna, G. (2010). The concept of engagement A systematic analysis of the ongoing marketing debate. International Journal of Market Research(52), 801–826.
  • Ghazali, E. M., Mutum, D. S., Chong, J. H., ve Nguyen, B. (2018). Do consumers want mobile commerce? A closer look at M-shopping and technology adoption in Malaysia. Asia Pacific Journal of Marketing and Logistics, 30(4), 1064–1086.
  • Groß, M. (2015). Exploring the acceptance of technology for mobile shopping: an empirical investigation among Smartphone users. The International Review of Retail, Distribution and Consumer Research, 25(3), 215–235.
  • Hair, J. F., Ringle, C. M., ve Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139–152.
  • Hair, J. F., Risher, J. J., Sarstedt, M., ve Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.
  • Hassenzahl, M. (2003). The thing and I: Understanding the relationship between user and product. M. A. Blythe, A. F. Monk, K. Overbeeke, ve P. C. Wright (Ed.), Human-computer interaction series: Vol. 3. Funology: From Usability to Enjoyment. (s. 31–42). Springer Science + Business Media, Inc.
  • Henseler, J., Ringle, C. M., ve Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. P. N. Ghauri ve R. R. Sinkovics (Ed.), New Challenges to International Marketing: Advances in International Marketing Vol 20. (s. 277–319). Emerald Publishing Limited.
  • Holbrook, M. B., ve Hirschman, E. C. (1982). The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun. Journal of Consumer Research, 9(2), 132.
  • Hubert, M., Blut, M., Brock, C., Backhaus, C., ve Eberhardt, T. (2017). Acceptance of Smartphone‐Based Mobile Shopping: Mobile Benefits, Customer Characteristics, Perceived Risks, and the Impact of Application Context. Psychology ve Marketing, 34(2), 175–194.
  • Japutra, A., Utami, A. F., Molinillo, S., ve Ekaputra, I. A. (2021). Influence of customer application experience and value in use on loyalty toward retailers. Journal of Retailing and Consumer Services, 59, 102390.
  • Kalinic, Z., ve Marinkovic, V. (2016). Determinants of users’ intention to adopt m-commerce: an empirical analysis. Information Systems and E-Business Management, 14(2), 367–387.
  • Kerviler, G. de, Demoulin, N. T., ve Zidda, P. (2016). Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers? Journal of Retailing and Consumer Services, 31, 334–344.
  • Khare, A., ve Rakesh, S. (2011). Antecedents of Online Shopping Behavior in India: An Examination. Journal of Internet Commerce, 10(4), 227–244.
  • Kim, H.‑W., Chan, H. C., ve Gupta, S. (2007). Value-based Adoption of Mobile Internet: An empirical investigation. Decision Support Systems, 43(1), 111–126.
  • King, J. (6 Nisan 2024). Guide to mobile commerce and its business applications. https://www.emarketer.com/insights/mobile-commerce-shopping-trends-stats/ Erişim Tarihi: 12.04.2024.
  • Kline, R. B. (2016). Principles and practice of structural equation modeling. Methodology in the social sciences. New York: The Guilford Press.
  • Ko, E., Kim, E. Y., ve Lee, E. K. (2009). Modeling consumer adoption of mobile shopping for fashion products in Korea. Psychology ve Marketing, 26(7), 669–687.
  • Liu, F., Zhao, X., Chau, P. Y., ve Tang, Q. (2015). Roles of perceived value and individual differences in the acceptance of mobile coupon applications. Internet Research, 25(3), 471–495.
  • Ltifi, M. (2018). Determinants of the intention of smartphone usage by mobile internet users for m-services. Management Decision, 56(11), 2291–2307.
  • Marketing Türkiye. (5 Ağustos 2021). Türkiye’nin En çok Tercih Edilen Alışveriş Sitesi Belli Oldu. https://www.marketingturkiye.com.tr/haberler/favori-alisveris-sitesi/ Erişim Tarihi: 18.03.2024.
  • Martínez-López, F. J., Pla-García, C., Gázquez-Abad, J. C., ve Rodríguez-Ardura, I. (2014). Utilitarian motivations in online consumption: Dimensional structure and scales. Electronic Commerce Research and Applications, 13(3), 188–204.
  • Michelotti, B. (30 Mart 2023). The Rise of Mobile Technology in Business: 5 Ways It’s Shaping the Future. https://www.aberdeen.com/blogposts/the-rise-of-mobile-technology-in-business-5-ways-its-shaping-the-future/ Erişim Tarihi: 22.04.2024.
  • Nair, A. K., ve Bhattacharyya, S. S. (2019). Is sustainability a motive to buy? An exploratory study in the context of mobile applications channel among young Indian consumers. Foresight, 21(2), 177–199.
  • Natarajan, T., Balasubramanian, S. A., ve Kasilingam, D. L. (2017). Understanding the intention to use mobile shopping applications and its influence on price sensitivity. Journal of Retailing and Consumer Services, 37, 8–22.
  • Nysveen, H. (2005). Intentions to Use Mobile Services: Antecedents and Cross-Service Comparisons. Journal of the Academy of Marketing Science, 33(3), 330–346.
  • O’Brien, H. L. (2010). The influence of hedonic and utilitarian motivations on user engagement: The case of online shopping experiences. Interacting with Computers, 22(5), 344–352.
  • Parker, C. J., ve Wang, H. (2016). Examining hedonic and utilitarian motivations for m-commerce fashion retail app engagement. Journal of Fashion Marketing and Management: An International Journal, 20(4), 487–506.
  • Patel, V., Das, K., Chatterjee, R., ve Shukla, Y. (2020). Does the Interface Quality of Mobile Shopping Apps Affect Purchase Intention? An Empirical Study. Australasian Marketing Journal, 28(4), 300–309.
  • Persaud, A., ve Azhar, I. (2012). Innovative mobile marketing via smartphones. Marketing Intelligence ve Planning, 30(4), 418–443.
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J.‑Y., ve Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. The Journal of Applied Psychology, 88(5), 879–903.
  • Porcelli, M. (21 Haziran 2021). Behind The Growth Of Mobile Commerce. Forbes. https://www.forbes.com/sites/forbestechcouncil/2021/06/25/behind-the-growth-of-mobile-commerce/?sh=340c1202353b Erişim Tarihi: 25.02.2024.
  • Rintamäki, T., Kanto, A., Kuusela, H., ve Spence, M. T. (2006). Decomposing the value of department store shopping into utilitarian, hedonic and social dimensions. International Journal of Retail ve Distribution Management, 34(1), 6–24.
  • Rippé, C. B., Weisfeld‐Spolter, S., Yurova, Y., Dubinsky, A. J., ve Hale, D. (2017). Under the sway of a mobile device during an in‐store shopping experience. Psychology ve Marketing, 34(7), 733–752.
  • Rodríguez-Torrico, P., San-Martín, S., ve San José-Cabezudo, R. (2019). What Drives M-Shoppers to Continue Using Mobile Devices to Buy? Journal of Marketing Theory and Practice, 27(1), 83–102.
  • Salın, S. A. (20 Mart 2024). The Evolution of Shopping Apps in Turkey: A Data-Driven Insight. https://www.linkedin.com/pulse/copy-evolution-shopping-apps-turkey-data-driven-insight-sal%C4%B1n-wthmf Erişim Tarihi: 12.04.2024.
  • Salsify. (6 Nisan 2024). Why Consumers Are Shopping on Mobile Phones Inside Stores. https://www.salsify.com/blog/consumers-are-online-shopping-on-mobile-phones-inside-stores Erişim Tarihi: 12.04.2024.
  • Sarkar, S., ve Khare, A. (2019). Influence of Expectation Confirmation, Network Externalities, and Flow on Use of Mobile Shopping Apps. International Journal of Human–Computer Interaction, 35(16), 1449–1460.
  • Shankar, V., Kleijnen, M., Ramanathan, S., Rizley, R., Holland, S., ve Morrissey, S. (2016). Mobile Shopper Marketing: Key Issues, Current Insights, and Future Research Avenues. Journal of Interactive Marketing, 34, 37–48.
  • Statista. (2024). Turkey: smartphone user penetration 2018-2024. https://www.statista.com/statistics/568281/predicted-smartphone-user-penetration-rate-in-turkey/ Erişim Tarihi: 6 Nisan 2024.
  • Szymanski, D. M., ve Hise, R. T. (2000). E-satisfaction: an initial examination. Journal of Retailing, 76(3), 309–322.
  • Tang, J., Zhang, B., ve Xiao, S. (2022). Examining the Intention of Authorization via Apps: Personality Traits and Expanded Privacy Calculus Perspectives. Behavioral Sciences (Basel, Switzerland), 12(7).
  • Thakur, R. (2016). Understanding Customer Engagement and Loyalty: A Case of Mobile Devices for Shopping. Journal of Retailing and Consumer Services, 32, 151–163.
  • To, P.‑L., Liao, C., ve Lin, T.‑H. (2007). Shopping motivations on Internet: A study based on utilitarian and hedonic value. Technovation, 27(12), 774–787.
  • Türkiye Dijital 2023. We Are Social. https://www.guvenliweb.org.tr/dosya/HQTLP.pdf Erişim Tarihi: 06.05.2024.
  • Vahdat, A., Alizadeh, A., Quach, S., ve Hamelin, N. (2021). Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention. Australasian Marketing Journal, 29(2), 187–197.
  • Venkatesh, V., ve Brown, S. A. (2001). A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges. MIS Quarterly, 25(1), 71.
  • Wagner, T. (2007). Shopping motivation revised: a means‐end chain analytical perspective. International Journal of Retail ve Distribution Management, 35(7), 569–582.
  • Wang, J. P.‑C., ve Gutierrez, A. (2019). An In-Store Mobile App for Customer Engagement: Discovering Hedonic and Utilitarian Motivations in UK Grocery Retail. M. Themistocleous ve P. Da Rupino Cunha (Ed.), Lecture Notes in Business Information Processing. Information Systems (s. 225–243). Springer International Publishing.
  • Wang, R. J.‑H., Malthouse, E. C., ve Krishnamurthi, L. (2015). On the Go: How Mobile Shopping Affects Customer Purchase Behavior. Journal of Retailing, 91(2), 217–234.
  • Yang, K. (2010). Determinants of US consumer mobile shopping services adoption: implications for designing mobile shopping services. Journal of Consumer Marketing, 27(3), 262–270.
  • Yang, K., ve Kim, H.‑Y. (2012). Mobile shopping motivation: an application of multiple discriminant analysis. International Journal of Retail ve Distribution Management, 40(10), 778–789.
  • Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52(3), 2–22.
Toplam 75 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Dijital Reklamcılık
Bölüm ARAŞTIRMA MAKALESİ
Yazarlar

Adil Bical 0000-0001-6139-5497

Yayımlanma Tarihi 29 Kasım 2024
Gönderilme Tarihi 14 Temmuz 2024
Kabul Tarihi 17 Ekim 2024
Yayımlandığı Sayı Yıl 2024

Kaynak Göster

APA Bical, A. (2024). TÜKETİCİLERİN MOBİL UYGULAMALARI KULLANMA NİYETİNİ BELİRLEYEN FAKTÖRLER: HEDONİK VE FAYDACI MOTİVASYONLARIN ROLÜ. İnönü Üniversitesi İletişim Fakültesi Elektronik Dergisi (İNİF E-Dergi), 9(2), 201-225. https://doi.org/10.47107/inifedergi.1515973